Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Stratified Sampling Method01:16

Stratified Sampling Method

12.1K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a stratified sample, divide the population into groups called strata and then take a...
12.1K
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

44
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
44
Multiple Regression01:25

Multiple Regression

3.0K
Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
3.0K
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

57
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
57
Friedman Two-way Analysis of Variance by Ranks01:21

Friedman Two-way Analysis of Variance by Ranks

207
Friedman's Two-Way Analysis of Variance by Ranks is a nonparametric test designed to identify differences across multiple test attempts when traditional assumptions of normality and equal variances do not apply. Unlike conventional ANOVA, which requires normally distributed data with equal variances, Friedman's test is ideal for ordinal or non-normally distributed data, making it particularly useful for analyzing dependent samples, such as matched subjects over time or repeated measures...
207
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

527
This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
527

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Resource use and economic burden of respiratory syncytial virus among older adults in real-world clinical practice across five European countries.

Frontiers in public health·2026
Same author

Cross-Sectional Survey of Real-World Physician Prescribing Practices for Anti-VEGF Agents in the Treatment of Neovascular Age-Related Macular Degeneration and Associated Patient Burden in the United States.

Clinical ophthalmology (Auckland, N.Z.)·2026
Same author

Cilta-cel in lenalidomide-refractory multiple myeloma (CARTITUDE-4): an updated analysis including overall survival from an open-label, multicentre, randomised, phase 3 trial.

The Lancet. Oncology·2026
Same author

Evaluation of Kidney Failure Risk Equation score for vascular access planning in an Australian cohort.

Internal medicine journal·2025
Same author

Clinical experience with cranial nerve palsy in patients infused with ciltacabtagene autoleucel for the treatment of relapsed/refractory MM in CARTITUDE-1, -2, and -4.

Blood cancer journal·2025
Same author

Postprandial metabolic effects of milk and yoghurt in young and older adults.

Genes & nutrition·2025
Same journal

Predictor-Assisted Nonparametric Graphical Models With Multivariate Error-Prone Data.

Statistics in medicine·2026
Same journal

Optimizing Treatment Decision Estimation for Right-Censored Survival Data Through Parameter Transfer Learning.

Statistics in medicine·2026
Same journal

Latent Class Log-Linear Models for Estimating Diagnostic Test Accuracy Without a Gold Standard: A Simulation Study.

Statistics in medicine·2026
Same journal

Interpretable Bayesian Modeling for Multireader Multicase Studies: Addressing Overdispersion and Limited Sample Size in Diagnostic Enhancement Evaluation.

Statistics in medicine·2026
Same journal

Adaptive Sequential Multiple Hypotheses Testing for Concomitant Vaccine Safety Surveillance.

Statistics in medicine·2026
Same journal

Novel Distance Regression for Repeated Outcomes With Missing Data: Applications to Longitudinal and Crossover Studies of Microbiome Beta-Diversity.

Statistics in medicine·2026
See all related articles

Related Experiment Video

Updated: Jul 11, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

3.4K

Embedded multilevel regression and poststratification: Model-based inference with incomplete auxiliary information.

Katherine Li1, Yajuan Si2

  • 1Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA.

Statistics in Medicine
|November 15, 2023
PubMed
Summary
This summary is machine-generated.

Embedded multilevel regression and poststratification (EMRP) improves health disparity research by generating synthetic populations for more accurate small subgroup estimates. This method corrects bias and reduces uncertainty for vulnerable populations.

Keywords:
Bayesian bootstrapincomplete poststratifierssequential imputationsynthetic population

More Related Videos

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills
06:52

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills

Published on: September 17, 2019

6.4K
Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
08:27

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

Published on: September 27, 2019

6.9K

Related Experiment Videos

Last Updated: Jul 11, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

3.4K
Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills
06:52

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills

Published on: September 17, 2019

6.4K
Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
08:27

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

Published on: September 27, 2019

6.9K

Area of Science:

  • Statistics
  • Public Health
  • Health Disparities Research

Background:

  • Health disparity research frequently assesses health outcomes across demographic subgroups.
  • Multilevel regression and poststratification (MRP) is a common method for small subgroup estimation, stabilizing estimates and adjusting for selection bias.
  • MRP's effectiveness is limited by the availability of auxiliary variables' joint distributions, as analysts often only have marginal distributions.

Purpose of the Study:

  • To introduce embedded MRP (EMRP), a novel approach that integrates the estimation of population cell counts for poststratification directly into the MRP workflow.
  • To enhance the accuracy and granularity of health outcome estimates for small demographic subgroups.
  • To address limitations in classical MRP by generating synthetic populations of auxiliary variables.

Main Methods:

  • EMRP generates synthetic populations of auxiliary variables before implementing MRP, embedding cell count estimation within the workflow.
  • A fully Bayesian framework is employed to propagate all sources of estimation uncertainty.
  • Simulation studies compare synthetic population generation methods, evaluating EMRP's performance against alternatives on bias-variance tradeoffs.

Main Results:

  • EMRP estimators correct bias present in classical MRP.
  • EMRP methods achieve lower standard errors and narrower confidence intervals compared to weighted finite population Bayesian bootstrap (WFPBB) and design-based estimates.
  • All EMRP estimators demonstrated comparable performance, with WFPBB-MRP recommended for its high coverage rates.

Conclusions:

  • EMRP offers a robust framework for valid subpopulation inferences in health disparity research.
  • The method improves upon classical MRP by addressing limitations in auxiliary variable distribution data.
  • EMRP provides more accurate and reliable estimates of health outcomes for vulnerable populations, as demonstrated in the food insecurity prevalence study.